An asymmetrical fuzzy-logic-control-based MPPT algorithm for photovoltaic systems

Chun Liang Liu; Jing Hsiao Chen; Yi Hua Liu; Zong Zhen Yang

doi:10.3390/en7042177

An asymmetrical fuzzy-logic-control-based MPPT algorithm for photovoltaic systems

Chun Liang Liu
, Jing Hsiao Chen
, Yi Hua Liu^*
, Zong Zhen Yang

^*Corresponding author for this work

National Taiwan University of Science and Technology
Industrial Technology Research Institute of Taiwan

Research output: Contribution to journal › Journal Article › peer-review

96 Scopus citations

Abstract

In this paper, a fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is proposed. The power variation and output voltage variation are chosen as inputs of the proposed FLC, which simplifies the calculation. Compared with the conventional perturb and observe (P&O) method, the proposed FLC-based MPPT can simultaneously improve the dynamic and steady state performance of the PV system. To further improve the performance of the proposed method, an asymmetrical membership function (MF) concept is also proposed. Two design procedures are proposed to determine the universe of discourse (UOD) of the input MF. Comparing with the proposed symmetrical FLC-based MPPT method, the transient time and the MPPT tracking accuracy are further improved by 42.8% and 0.06%, respectively.

Original language	English
Pages (from-to)	2177-2193
Number of pages	17
Journal	Energies
Volume	7
Issue number	4
DOIs	https://doi.org/10.3390/en7042177
State	Published - 04 2014
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy logic control
Maximum power point tracking
Photovoltaic

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10.3390/en7042177

Cite this

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title = "An asymmetrical fuzzy-logic-control-based MPPT algorithm for photovoltaic systems",

abstract = "In this paper, a fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is proposed. The power variation and output voltage variation are chosen as inputs of the proposed FLC, which simplifies the calculation. Compared with the conventional perturb and observe (P\&O) method, the proposed FLC-based MPPT can simultaneously improve the dynamic and steady state performance of the PV system. To further improve the performance of the proposed method, an asymmetrical membership function (MF) concept is also proposed. Two design procedures are proposed to determine the universe of discourse (UOD) of the input MF. Comparing with the proposed symmetrical FLC-based MPPT method, the transient time and the MPPT tracking accuracy are further improved by 42.8\% and 0.06\%, respectively.",

keywords = "Fuzzy logic control, Maximum power point tracking, Photovoltaic",

author = "Liu, \{Chun Liang\} and Chen, \{Jing Hsiao\} and Liu, \{Yi Hua\} and Yang, \{Zong Zhen\}",

year = "2014",

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doi = "10.3390/en7042177",

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AU - Liu, Chun Liang

AU - Chen, Jing Hsiao

AU - Liu, Yi Hua

AU - Yang, Zong Zhen

PY - 2014/4

Y1 - 2014/4

N2 - In this paper, a fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is proposed. The power variation and output voltage variation are chosen as inputs of the proposed FLC, which simplifies the calculation. Compared with the conventional perturb and observe (P&O) method, the proposed FLC-based MPPT can simultaneously improve the dynamic and steady state performance of the PV system. To further improve the performance of the proposed method, an asymmetrical membership function (MF) concept is also proposed. Two design procedures are proposed to determine the universe of discourse (UOD) of the input MF. Comparing with the proposed symmetrical FLC-based MPPT method, the transient time and the MPPT tracking accuracy are further improved by 42.8% and 0.06%, respectively.

AB - In this paper, a fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is proposed. The power variation and output voltage variation are chosen as inputs of the proposed FLC, which simplifies the calculation. Compared with the conventional perturb and observe (P&O) method, the proposed FLC-based MPPT can simultaneously improve the dynamic and steady state performance of the PV system. To further improve the performance of the proposed method, an asymmetrical membership function (MF) concept is also proposed. Two design procedures are proposed to determine the universe of discourse (UOD) of the input MF. Comparing with the proposed symmetrical FLC-based MPPT method, the transient time and the MPPT tracking accuracy are further improved by 42.8% and 0.06%, respectively.

KW - Fuzzy logic control

KW - Maximum power point tracking

KW - Photovoltaic

UR - https://www.scopus.com/pages/publications/84899136749

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DO - 10.3390/en7042177

M3 - 文章

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JO - Energies

JF - Energies

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ER -

An asymmetrical fuzzy-logic-control-based MPPT algorithm for photovoltaic systems

Abstract

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Keywords

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